Abstract: Disclosed are systems and methods for splat filling a three-dimensional (“3D”) model using semi-measured data. The splat filling includes generating measured data points for a 3D representation of a scene with positions that are measured from scanning the scene, and with color values defined from measured color values of used pixels from a two-dimensional (“2D”) of the scene. The splat filling includes generating a semi-measured data point based on an unused pixel of the 2D image. The position of the semi-measured data point is derived based on a separation between the unused pixel and one or more used pixels of the 2D image, and based on the positions of measured data points that are defined with the measured color values of the one or more pixels. The color values of the semi-measured data point are defined directly from the measured color values associated with the unused pixel.

Abstract: Contact information may be automatically generated on a device based on an interaction by the user of the device with another individual. A record of the interaction may be obtained by the device and, if it is determined that the interaction satisfies an interaction rule, information from the record of the interaction may be utilized to obtain contact information for the individual. The contact information may be obtained by extracting the contact information directly from the record of the interaction or by extracting an identifier of the individual from the record of the interaction and querying a remote device for the contact information. The obtained contact information may then be stored on the user's device.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe. The camera is coupled to a sensor that measures some characteristic of material in the wastewater pipe. The sensor is programmed with one or more alarms that, when triggered, cause the sensor to wake up the camera and command the camera to take one or more photos. Sensor data, such as current time/date, location, and the characteristics of material in the wastewater pipe, is sent by the sensor to the camera, which overlays one or more photos with visible text information corresponding to the received sensor data. The sensor can wake up the camera and command the camera to turn on the camera's Wi-Fi interface, which allows a wastewater control system in a remote location to communicate directly with the camera.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe. The camera is coupled to a sensor that measures some characteristic of material in the wastewater pipe. The sensor is programmed with one or more alarms that, when triggered, cause the sensor to wake up the camera and command the camera to take one or more photos. Sensor data, such as current time/date, location, and the characteristics of material in the wastewater pipe, is sent by the sensor to the camera, which overlays one or more photos with visible text information corresponding to the received sensor data. The sensor can wake up the camera and command the camera to turn on the camera's Wi-Fi interface, which allows a wastewater control system in a remote location to communicate directly with the camera.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe. The camera is coupled to a sensor that measures some characteristic of material in the wastewater pipe. The sensor is programmed with one or more alarms that, when triggered, cause the sensor to wake up the camera and command the camera to take one or more photos. Sensor data, such as current time/date, location, and the characteristics of material in the wastewater pipe, is sent by the sensor to the camera, which overlays one or more photos with visible text information corresponding to the received sensor data. The sensor can wake up the camera and command the camera to turn on the camera's Wi-Fi interface, which allows a wastewater control system in a remote location to communicate directly with the camera.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe. The camera is coupled to a sensor that measures some characteristic of material in the wastewater pipe. The sensor is programmed with one or more alarms that, when triggered, cause the sensor to wake up the camera and command the camera to take one or more photos. Sensor data, such as current time/date, location, and the characteristics of material in the wastewater pipe, is sent by the sensor to the camera, which overlays one or more photos with visible text information corresponding to the received sensor data. The sensor can wake up the camera and command the camera to turn on the camera's Wi-Fi interface, which allows a wastewater control system in a remote location to communicate directly with the camera.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe that takes a still photograph of a location of interest at defined intervals, such as five minutes. The photographs are retrieved from the camera, and are then analyzed on a computer system that aggregates the still photographs into a video stream, allows a user to define an area of interest on one of the still photographs, then uses suitable algorithms or heuristics to detect changes between the photographs in the video stream. Video clips of interest are then generated using the detected changes, and are identified to a user so the user can review the video clips of interest to determine flows in the wastewater pipe that was monitored.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe that takes a still photograph of a location of interest at defined intervals, such as five minutes. The photographs are retrieved from the camera, and are then analyzed on a computer system that aggregates the still photographs into a video stream, allows a user to define an area of interest on one of the still photographs, then uses suitable algorithms or heuristics to detect changes between the photographs in the video stream. Video clips of interest are then generated using the detected changes, and are identified to a user so the user can review the video clips of interest to determine flows in the wastewater pipe that was monitored.

Abstract: A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.

Abstract: A wastewater monitoring system uses a camera in a fixed location in a wastewater pipe that takes a still photograph of a location of interest at defined intervals, such as five minutes. The photographs are retrieved from the camera, and are then analyzed on a computer system that aggregates the still photographs into a video stream, allows a user to define an area of interest on one of the still photographs, then uses suitable algorithms or heuristics to detect changes between the photographs in the video stream. Video clips of interest are then generated using the detected changes, and are identified to a user so the user can review the video clips of interest to determine flows in the wastewater pipe that was monitored.

Abstract: A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.

Abstract: Contact information may be automatically generated on a device based on an interaction by the user of the device with another individual. A record of the interaction may be obtained by the device and, if it is determined that the interaction satisfies an interaction rule, information from the record of the interaction may be utilized to obtain contact information for the individual. The contact information may be obtained by extracting the contact information directly from the record of the interaction or by extracting an identifier of the individual from the record of the interaction and querying a remote device for the contact information. The obtained contact information may then be stored on the user's device.

Abstract: An apparatus and method for removing poultry tenders from at least partial poultry carcasses. The apparatus and method preferably employ an elongate pair of stationary blades through which the carcasses are conducted prior to being processed by at least a pair of plows positioned on apposite sides of the keels of the carcasses. The edges of the elongate blades are spaced apart and inclined such that the blade edges receive the keels therebetween and guide the carcasses in their path of travel while cutting into the carcasses along each side of the keels.

Abstract: An apparatus and method for removing poultry tenders from at least partial poultry carcasses. The apparatus and method preferably employ an elongate pair of stationary blades through which the carcasses are conducted prior to being processed by at least a pair of plows positioned on apposite sides of the keels of the carcasses. The edges of the elongate blades are spaced apart and inclined such that the blade edges receive the keels therebetween and guide the carcasses in their path of travel while cutting into the carcasses along each side of the keels.